While linear programming (LP) decoding provides more flexibility for finite-length performance analysis than iterative message-passing (IMP) decoding, it is computationally more complex to implement ...

In this paper, a one-layer recurrent neural network is presented for solving pseudoconvex optimization problems subject to linear equality constraints. The global convergence of the neural network can ...

linear algebra (linear independence, rank, eigenvalues, quadratic forms) calculus and static optimization (concavity, quasi-concavity, nonlinear programming) difference equations and (linear and ...

java machine-learning multi-threading algorithm math algorithms optimization linear-algebra solver transformations least-squares polynomial arrays blas lapack sparse-matrix optimization-algorithms ...